import face_recognition
import cv2

video_capture = cv2.VideoCapture(1)

mayun_img = face_recognition.load_image_file("e:\\mayun.jpg")
mayun_face_encoding = face_recognition.face_encodings(mayun_img)[0]

face_locations = []
face_encodings = []
face_names = []

process_this_frame = True

while True:
    ret, frame = video_capture.read()

    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

    if process_this_frame:
        face_locations = face_recognition.face_locations(small_frame)
        face_encodings = face_recognition.face_encodings(small_frame, face_locations)

        face_names = []
        for face_encoding in face_encodings:
            match = face_recognition.compare_faces([mayun_img], face_encoding)

            if match[0]:
                name = "马云"
            else:
                name = "未知"

            face_names.append(name)

        process_this_frame = not process_this_frame

        for (top, right, bottom, left), name in zip(face_locations, face_names):
            top *= 4
            right *= 4
            bottom *= 4
            left *= 4

            cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

            cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), 2)
            font = cv2.FONT_HERSHEY_DUPLEX
            cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)

        cv2.imshow("Video", frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

video_capture.release()
cv2.destroyAllWindows()
